Genetic algorithm for reliability-based design optimisation of composite drive shaft

D. Jebakani and T. Paul Robert

International Journal of Industrial and Systems Engineering, 2011, vol. 7, issue 2, 224-253

Abstract: The laminated composite material is widely used in structural and automotive applications because of its high specific strength and stiffness. However, such material is strongly anisotropic and sensitive to the change in loading conditions. Therefore, it is necessary to consider the effect of such variations by applying the structural reliability theory. In this paper, reliability-based design optimisation methodology for finding the optimal design of composite drive shaft with a specific risk and reliability is presented. The effect of the uncertainties in material and geometric properties is considered to quantify the probability of failure. The application of genetic algorithm to determine the critical design parameters is explored. The reliability of various designs is estimated using Monte Carlo procedure to determine the optimal stacking sequence which meets the target reliability.

Keywords: RBDO; reliability-based design optimisation; uncertainty; composite drive shafts; genetic algorithms; Monte-Carlo simulation; structural reliability; optimal design; composites; optimal stacking sequence. (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:7:y:2011:i:2:p:224-253

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